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Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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Estimating the size of branch-and-bound trees
Hendel, Gregor Christian; Anderson, Daniel; Le Bodic, Pierre - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 2, pp. 934-952
Persistent link: https://www.econbiz.de/10013361382
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Performance evaluation of forecasting models based on time series and machine learning techniques : an application to light fuel consumption in Brazil
Rodrigues, Lucas; Rodrigues, Luciano; Bacchi, Mirian … - In: International journal of energy sector management 16 (2022) 4, pp. 636-658
Persistent link: https://www.econbiz.de/10013345694
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A parallel-series hybridization of seasonal intelligent based statistical model for demand forecasting
Bahrami, Maryam; Khashei, Mehdi; Amindoust, Atefeh - In: Journal of modelling in management 17 (2022) 4, pp. 1126-1143
Persistent link: https://www.econbiz.de/10014334156
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Carsharing customer demand forecasting using causal, time series and neural network methods : a case study
Moein, Elnaz; Awasthi, Anjali - In: International journal of services and operations … 35 (2020) 1, pp. 36-57
Persistent link: https://www.econbiz.de/10012178607
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Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta
Dubois, Eric - In: International journal of forecasting 30 (2014) 3, pp. 632-634
Persistent link: https://www.econbiz.de/10010514784
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Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009
Kock, Anders Bredahl; Teräsvirta, Timo - In: International journal of forecasting 30 (2014) 3, pp. 616-631
Persistent link: https://www.econbiz.de/10010514786
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Modeling Multivariate Time Series in Economics : From Auto-Regressions to Recurrent Neural Networks
Verstyuk, Sergiy - 2020
plausible according to conventional economic theory. Additionally, the paper shows how, due to its inherent non-linearity, MRNN …
Persistent link: https://www.econbiz.de/10012835458
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Modeling Multivariate Time Series in Economics : From Auto-Regressions to Recurrent Neural Networks
Verstyuk, Sergiy - 2018
system dynamics that are more plausible according to conventional economic theory …
Persistent link: https://www.econbiz.de/10012906874